Voice Based eMail For Blind (Visually Impaired) Using Machine Learning

Abstract of voice based email for blind Project Using Machine Learning

Now a days challenge to blind person to communicate with one person to another person by Official an Email. So that we implement this Voice Based eMail For Blind Using Machine Learning. An Email is considered as one of the most pervasive form of communication in the world.

However, all these technologies can be of no use to the people who are visually problematic persons (ex: Blind) as all activities that can be performed on the computer are based on visual perception.

The proposed project is to convert text to speech and speech to text I think definitely useful for a visually impaired person. The text typed is sent to the blind person in an email where he can hear the speech. The speech said by blind person is sent to the other person where text in an email is read.

Introduction of Voice Based eMail For Blind Using Machine Learning

Approximately 300 million people are judged to be visually impaired worldwide in which 54 million are blind and 246 are said have low vision. Approximately 90% of this world’s visually impaired is from the dispirited income people and 82% of people living with blindness aging persons and above.

There are so many researchers have been getting along in this universe, but the visual impairment could not be broken for good. In lodge to facilitate these people we have developed the assistive device for blind people who do not want the assistance of other neighbor’s.

The development our project helps the multitude to experience loose and go independently.  By this device we provide the solution for blind, deaf and dumb people. For blind people the image is converted to voice by using Tesseract  software, the deaf people received their content by message as soon as the opposite person speaks out it displayed as a message.

The dumb persons conveyed their message through text instead of sign language which is delivered via e-speak. We have provided necessary steps to resolve the problems of those masses.

System architecture of voice based email for visually Challenged

H/w and S/W requirements

Hardware

Computer   :   System

Ram           :    1GB

Rom           :    32GB

Software

Technology    :    Machine Learning.

Front End          :     GUI-tkinter.

IDLE                   :      python 3.10.4

Virtual  Envs     :     Anaconda